Rule base reasoning in the knowledge-based mould design system

U članku se prikazuje parametarski, modularni, integrirani CAD/CAE sustav za konstruiranje kalupa, temeljen na značajkama. Predloženi sustav integrira Pro/E s izvorno razvijenim modulom za izračunavanje parametara injekcijskog prešanja, parametara kalupa i izbor kalupa. Sučelje koristi parametarske CAD/CAE značajke iz tipsko-orijentirane baze podataka, što doprinosi jednostavnijem procesu konstruiranja, uređivanja i izmjene podataka. S obzirom na prethodno istraživanje, članak prikazuje mogućnost modeliranja sustava primjenom pravila. U članku se još predstavlja popis inženjerskih metoda koje su se koristile za gradnju sustava zasnovanog na znanju, a metoda zaključivanja na osnovu pravila proizvodnje predstavlja se detaljnije.This paper describes knowledge-based oriented, parametric, modular, and feature-based integrated CAD/CAE system for mould design. The proposed system integrates Pro/E system with developed original module for calculation of parameters of injection moulding and mould design calculation and selection. The system interface uses parametric and CAD/CAE feature-based database to make the process of design, editing, and reviewing smoother. An example is provided to demonstrate our approach in rule-based representation. Also presented the lists of KBE techniques used for building the knowledge-based system and especially production rules reasoning

Static and dynamic performance evaluation of a 3-DOF spindle head using CAD–CAE integration methodology

Accurate and rapid modeling and performance evaluation over the entire workspace is a crucially important issue in the design optimization of parallel kinematic machines (PKMs), especially for those dedicated for high-speed machining where high rigidity and high dynamics are the essential requirements. By taking a 3-DOF spindle head named A3 head as an example, this paper presents a feature-based CAD–CAE integration methodology for the static and dynamic analyses of PKMs. The approach can be implemented by four steps: (1) creation of a parameterized geometric (CAD) model with analysis features in SolidWorks; (2) extraction of the features from the CAD model using the Application Programming Interface (API) available in SolidWorks; (3) formulation of a CAD model in SAMCEF by mapping the configuration features from SolidWorks to SAMCEF; and (4) conversion of the analysis features into a scripting language named Bacon for Finite Element Analysis (FEA). The merit of this approach lies in that the FE model at different configurations can be updated automatically in batch mode, and PKMs having different topologies can be modeled with ease thanks to the down to link/joint level featuring. The experiment is also carried out to verify the effectiveness of the proposed approach

Introduction to Modeling and Simulation Techniques

Modeling and simulation techniques are becoming an important research method for investigating operational and organizational systems. Many literatures report different aspects and views of modeling and simulation but there is little literature that covers a full cycle of modeling and simulation, including both model design & development and model verification & validation, for use in industrial product development systems. This paper introduces modeling and simulation concepts, methods and tools, and discusses approaches that can be used for model verification and validation. A modeling and simulation procedure, designed for use in understanding industrial product development systems, is introduced that accommodates both model creation and verification & validation. The overall goal of the research is to bridge the gap between model design & development and model verification & validation in a modeling and simulation procedure which, as a whole, is essential for the application of modeling and simulation techniques to understand any real-world system

Design for manufacture using machining features on CNC machining centers

Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) systems have become more and more needed and useful in the machining processes environment. In order to achieve competitive advantage, companies adopted new manufacturing methods. As a consequence, and in machining processes context, the interaction of CAD and CAM has growth over the years in order to increase the production efficiency, as well as to reduce costs and time. The development of this work started with an extensive literature review. In that review, the author found that only a few articles approached the interaction or integration of CAD and CAM systems. Moreover, the authors that studied this interaction focused on systems for turning parts. Thus, there is a gap in the literature related to the integration and automation of these systems when applied to milling parts. Therefore, the purpose of this dissertation is to enable the interaction of these systems in order to provide a completely automated process since the design stage until the machining stage. Finally, the process’ implementation showed that the developed algorithm was able to satisfy the initial requirements of this work, i.e., when given a set of initial parameters, the program drew the required geometry, and then generated the required G-code, such that this code can be sent to the CAM software to machine the workpiece, thereby obtaining the final product.Os sistemas Computer-Aided Design (CAD) and Computer-Aided Manufacturing(CAM) estão, cada vez mais, a ser mais necessários e úteis no contexto da maquinagem. De modo a conseguir vantagem competitiva, as empresas têm adotado novos métodos de produção. Consequentemente, no contexto da indústria da maquinagem, a interação entre CAD e CAM tem crescido nos últimos anos, de modo a permitir uma maior eficácia na produção, assim como também redução de tempo e custo. O desenvolvimento deste trabalho começou com uma extensa revisão da literatura. Nesta revisão, o autor apercebeu-se que apenas alguns artigos se debruçaram sobre a interação ou integração dos sistemas CAD e CAM. Para além disso, os autores desses artigos focaram-se em sistemas para torneamento. Assim, constata-se que existe um espaço livre na literatura no que diz respeito à integração destes sistemas quando aplicados à fresagem. Por isso, o objetivo desta dissertação é permitir a interação dos dois sistemas referidos, de forma a promover um processo completamente automático desde o design até à maquinagem. Por fim, a implementação do processo mostrou que o algoritmo desenvolvido alcançou os objetivos iniciais do trabalho, ou seja, baseando-se apenas nos parâmetros fornecidos, o programa desenhou as geometrias necessárias, sendo depois capaz de gerar o código G respetivo, para que este possa ser transferido para o centro de maquinagem, de modo a que o material possa ser maquinado, dando origem ao produto final

Modular system for plastic injection molding

U disertaciji se prikazuje modularni sistem za projektovanje alata za injekciono presovanje plastike. Analizirani su različiti prilazi u projektovanu alata. Prikazana je koncepcija i funkcionisanje razvijenog sistema. Verifikacija sistema je izvršena na konkretnim plastičnim proizvodima. Na kraju su dati odgovarajući zaključci i mogući pravci budućih istraživanja.The dissertation shows the development of the modular system for mold design for plastic injection molding. Different approaches were analyzed in the field of mold design. The concept and functioning of the developed modular system is presented. Validation of the proposed system is made with the specific plastic parts. At the end the appropriate conclusions and possible directions for future research are given

Neural Extended Kalman Filter for State Estimation of Automated Guided Vehicle in Manufacturing Environment

To navigate autonomously in a manufacturing environment Automated Guided Vehicle (AGV) needs the ability to infer its pose. This paper presents the implementation of the Extended Kalman Filter (EKF) coupled with a feedforward neural network for the Visual Simultaneous Localization and Mapping (VSLAM). The neural extended Kalman filter (NEKF) is applied on-line to model error between real and estimated robot motion. Implementation of the NEKF is achieved by using mobile robot, an experimental environment and a simple camera. By introducing neural network into the EKF estimation procedure, the quality of performance can be improved

Prediction of Robot Execution Failures Using Neural Networks

In recent years, the industrial robotic systems are designed with abilities to adapt and to learn in a structured or unstructured environment. They are able to predict and to react to the undesirable and uncontrollable disturbances which frequently interfere in mission accomplishment. In order to prevent system failure and/or unwanted robot behaviour, various techniques have been addressed. In this study, a novel approach based on the neural networks (NNs) is employed for prediction of robot execution failures. The training and testing dataset used in the experiment consists of forces and torques memorized immediately after the real robot failed in assignment execution. Two types of networks are utilized in order to find best prediction method - recurrent NNs and feedforward NNs. Moreover, we investigated 24 neural architectures implemented in Matlab software package. The experimental results confirm that this approach can be successfully applied to the failures prediction problem, and that the NNs outperform other artificial intelligence techniques in this domain. To further validate a novel method, real world experiments are conducted on a Khepera II mobile robot in an indoor structured environment. The obtained results for trajectory tracking problem proved usefulness and the applicability of the proposed solution